
Rastriq — Structured data from the world
70+ actors for automotive, heavy equipment, and marketplace intelligence. The largest collection of used vehicle and industrial machinery.
company/rastriq
Joined April 2026
ACTOR STATS
80 public Actors
382 total users
123 monthly users
94.9% runs succeeded
1 hours issues response
Rastriq is a data intelligence studio focused on two verticals where we have the deepest coverage on Apify:
Used vehicles & classic cars — Wallapop, Coches.net, AutoScout24, Mobile.de, Polovniautomobili, Otomoto, Autovit, Collecting Cars, Car and Classic, Classic Trader, Bring a Trailer, ClassicCars.com, Nettiauto, Classic Driver, and more.
Industrial machinery & equipment — Mascus, MachineryZone, Machineseeker, MachineryTrader, Rock & Dirt, Supralift, Truck1, Euro Auctions, Surplex, Ritchie Bros / IronPlanet, DOZR, XCMG, Caterpillar, Komatsu.
We also maintain actors for OEM car configurators (VW, Kia, Hyundai, Toyota, Volvo, Stellantis, Honda, Nissan, Mazda, Dacia, CUPRA, Peugeot, Citroën, MINI, Audi, Mercedes, Ford, Škoda, BYD), ad libraries (TikTok, Google Ads, Meta), market intelligence (SimilarWeb, Google Trends), and Google Maps enrichment.
Our actors power market intelligence teams that need structured, normalized data from fragmented online sources:
- Dealer groups tracking competitor pricing across borders
- Equipment rental companies monitoring fleet supply and residual values
- OEMs benchmarking configurator pricing across European markets
- Consultancies building competitive dashboards for their clients
Every actor follows the same principles:
- Preloaded snapshots — Many actors offer a full database download in one click, no scraping needed. Fresh snapshots updated regularly.
- Normalized output — Consistent schemas across marketplaces so you can merge data without post-processing.
- Lightweight by default — HTTP-first extraction. Headless browsers only when strictly necessary. Low compute, fast runs.
- Anti-bot resilience — Residential proxy rotation, session orchestration, and adaptive patterns for protected sites.